Lab 11.1 has errors
In step 6, the PDF shows a "vip.yaml" that creates a SINGLE POD named "vip" that contains 4 busybox containers and a nodeselector that only allows the pod to run on the node which was previously labeled with "status=vip".
So far so good, the pod only runs on the "vip" node.
Step 8 has us delete the pod and change the pod spec to remove the nodeSelector.
Step 9 is where the correction is needed... it says that after recreatingc the pod "Containers should now be spawning on both nodes.".
IMPOSSIBLE! The smallest unit Kubernetes can schedule is a POD!
This lab needs to be changed so that more than one pod is being created so we can actually see something spawning on both nodes.
Comments
-
Hi,
Aside from understanding the scheduling of pods, and the impact of node selectors, understanding the concept of pod vs container is equally important.
In short, a pod encapsulates one or many containers.
The following links may help in clarifying the concepts:
https://kubernetes.io/docs/concepts/workloads/pods/pod-overview/
https://kubernetes.io/docs/concepts/workloads/pods/pod/
To your point, in Kubernetes we manage and verify the pods with kubectl get pods, and in Docker we verify the containers with docker ps.
Also, when a pod is scheduled on a node in Kubernetes, the end result is one or more running containers on that same node.As you mentioned, in step 6 the vip.yaml file defines a Pod with 4 containers. In step 7, when the vip Pod is scheduled on the master because of the node selector, it creates the 4 containers on the master, which are then verified to be running on the master by issuing the docker ps command.
In step 8 by deleting the vip Pod, the 4 containers are also terminated and deleted. This can be verified again by running the docker ps command.
When editing the vip.yaml file and commenting out the node selector, the scheduler is no longer ignoring the worker, therefore the vip Pod and its 4 containers could be scheduled on either one of the available nodes in the cluster: master or worker.
In step 10 we are determining on which of the 2 nodes (master or worker) the 4 containers have been deployed, again with the use of docker ps command.I hope this helps.
Regards,
-Chris0 -
Chris, sorry i must not have made my point clear.
I know what is supposed to happen and fully understand the difference between pods and containers.
I have issue with the specific sentence in step 9 which contradicts your interpretation of the lab above.
Below is a quote from the lab, I have **bolded **the incorrect statement.- Delete the pod then edit the file, commenting out the nodeSelector lines. It may take a while for the containers to fully
terminate.
student@lfs458-node-1a0a:~$ kubectl delete pod vip
pod "vip" deleted
student@lfs458-node-1a0a:~$ vim vip.yaml
....
nodeSelector:
status: vip
- Create the pod again. Containers should now be spawning on both nodes. You may see pods for the daemonsets as
well.
student@lfs458-node-1a0a:~$ kubectl get pods
NAME READY STATUS RESTARTS AGE
vip 0/4 Terminating 0 5m
student@lfs458-node-1a0a:~$ kubectl get pods
No resources found.
student@lfs458-node-1a0a:~$ kubectl create -f vip.yaml
pod/vip created
1 - Delete the pod then edit the file, commenting out the nodeSelector lines. It may take a while for the containers to fully
-
We can make a suggestion to the course author and maintainer to revise that sentence prior to the next course update release.
Regards,
-Chris0
Categories
- All Categories
- 177 LFX Mentorship
- 177 LFX Mentorship: Linux Kernel
- 750 Linux Foundation IT Professional Programs
- 373 Cloud Engineer IT Professional Program
- 169 Advanced Cloud Engineer IT Professional Program
- 74 DevOps IT Professional Program - Discontinued
- 4 DevOps & GitOps IT Professional Program
- 99 Cloud Native Developer IT Professional Program
- 7.6K Training Courses & Learning Paths
- 1 AI & ML Training
- 1 Blockchain & Decentralized Identity Training
- 4 Cloud & Containers Training
- 1 Cybersecurity Training
- 2 DevOps & Site-Reliability Training
- 1 Linux Kernel Development Training
- 1 Networking Training
- 2 Open Source Best Practice Training
- 1 System Administration Training
- 1 System Engineering Training
- 1 Web & Application Development Training
- 792 Hardware
- 202 Drivers
- 68 I/O Devices
- 37 Monitors
- 95 Multimedia
- 173 Networking
- 91 Printers & Scanners
- 87 Storage
- 769 Linux Distributions
- 81 Debian
- 68 Fedora
- 22 Linux Mint
- 13 Mageia
- 24 openSUSE
- 150 Red Hat Enterprise
- 31 Slackware
- 13 SUSE Enterprise
- 356 Ubuntu
- 465 Linux System Administration
- 31 Cloud Computing
- 73 Command Line/Scripting
- Github systems admin projects
- 98 Linux Security
- 78 Network Management
- 101 System Management
- 46 Web Management
- 106 Mobile Computing
- 18 Android
- 73 Development
- 1.2K New to Linux
- 1K Getting Started with Linux
- 392 Off Topic
- 121 Introductions
- 181 Small Talk
- 29 Study Material
- 955 Programming and Development
- 310 Kernel Development
- 627 Software Development
- 983 Software
- 375 Applications
- 182 Command Line
- 5 Compiling/Installing
- 68 Games
- 317 Installation
- Archived
- 2 LFD140 Class Forum
- 1.4K LFS258 Class Forum
Upcoming Training
-
August 20, 2018
Kubernetes Administration (LFS458)
-
August 20, 2018
Linux System Administration (LFS301)
-
August 27, 2018
Open Source Virtualization (LFS462)
-
August 27, 2018
Linux Kernel Debugging and Security (LFD440)